SBIR/STTR Research Award

High Performance Networks - Compilation and Optimization of Protocol Analyzers

Award identifier 0ab10b00c05e22621d527eccb05db9219260adb886b143bacfddce78c7220067Awarding agency Department of Energy

Award amount

$749,991

Program and phase

SBIR · Phase II

Award year

2009

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
Reservoir Labs, Inc.
Proposal award date
Not reported
Contract end date
2012-08-14
UEI
J4DVUAMQJMW7
Solicitation number
Not reported
Topic code
Not reported

Research abstract

In times when critical national infrastructure depends more than ever on digital networks, the prevention of cyber attacks, as opposed to reacting after security has been compromised, becomes a chief concern. Intrusion Detection and Prevention (IDP) systems serve an indispensable role in proactively preserving the integrity of computer networks under cyber attacks. However, two independent trends are driving IDP solutions to a breaking point: (1) typical pattern-matching IDP solutions deploy low-coverage signatures that can be easily bypassed by new classes of exploits; and (2) as network data rates increase, IDP boxes are overwhelmed by the quantity of computation they must perform to secure the system. This project will explore the use of a new signature generation framework that produces protocol-aware polymorphic-proof signatures with larger coverage. In addition, a novel protocol compiler perspective will be developed to enable the rapid mapping of signature and protocol specifications onto hardware. Phase I identified the core reason leading to the IDP breaking point: lack of protocol-awareness limits the coverage of signatures and makes polymorphic attacks a powerful weapon for bypassing existing security measures. Phase II will use a theoretical and practical framework to implement a commercial-ready high-performance IDP solution based on our compiler approach.Commercial Applications and other Benefits as described by the awardee: High-speed, protocol-aware intrusion detection systems should be useful to organizations (companies, governments, utilities, armed forces, and even individuals) whose valuable assets make them targets of sophisticated cyber attackers. Security and cost savings benefits would accrue when assets are better and more efficiently protected, and commercial enterprises can secure their business operations more effectively and cheaply

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

71 SBIR/STTR records share this UEI (2004–2022). Reported award amounts total $38,801,244. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Energy

Agency intelligence

Department of Energy

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